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Pressure Control of a Large-scale Hydraulic Power Unit Using π Bridge Network
two stage pressure relief valve π bridge resistor network flow-pressure characteristics
2011/8/4
The steady state and dynamic characteristics of pressure output of a hydraulic power unit are important to the hydraulic system behavior. Because of the compact structure, the B-half bridge resistance...
Application of artificial neural network and wavelet transform for vibration analysis of combined faults of unbalances and shaft bow
Rotor test rig Rotor faults vibration analysis, unbalance
2010/9/26
The vibration analysis of rotating machinery can give an indication of the condition of potential faults such as unbalance, bent shaft, shaft crack, bearing clearance, rotor rub, misalignment, loosene...
Wavelet Neural Network Based on NARMA-L2 Model for Prediction of Thermal Characteristics in a Feed System
wavelet neural network NARMA-L2 model particle swarm optimization
2011/8/3
Research of thermal characteristics has been a key issue in the development of high-speed feed system. Most of the work carried out thus far is based on the principle of directly mapping the thermal e...
Neural Network Compact Ensemble and Its Applications
neural network compact ensemble(NNCE) combination weights classification performance
2011/8/3
There has been many methods in constructing neural network (NN) ensembles, where the method of simultaneous training has succeed in generalization performance and efficiency. But just like regular met...
Comparison of Regression and Artificial Neural Network Models for Surface Roughness Prediction with the Cutting Parameters in CNC Turning
Regression Artificial Neural Network Models Surface Roughness Prediction Cutting Parameters CNC Turning
2009/9/4
Surface roughness, an indicator of surface quality, is one of the most specified customer requirements in machining of parts. In this study, the experimental results corresponding to the effects of di...
Optimization of Surface Roughness in End Milling on Mould Aluminium Alloys (AA6061-T6) Using Response Surface Method and Radian Basis Function Network
Response Surface Method Radian Basis Function Network Surface roughness
2010/1/15
This paper is concerned with optimization of the surface roughness when milling Mould Aluminium alloys (AA6061-T6) with carbide coated inserts. Optimization of milling is very useful to reduce cost an...
Prediction of Friction Stir Welding Characteristic Using Neural Network
Friction stir welding Mechanical properties ANN
2010/1/15
An artificial neural network (ANN) model was developed for the analysis and simulation of the correlation between the
friction stir welding (FSW) parameters of aluminum (Al) plates and mechanical pro...
A Modification of SOM Network(SLFM)and Its Application in Tool Wear Monitoring and Quality Control
2007/7/28
期刊信息
篇名
A Modification of SOM Network(SLFM)and Its Application in Tool Wear Monitoring and Quality Control
语种
英文
撰写或编译
撰写
作者
Zhu Mingquan; Cai Yongxia
第一作者单位
刊物名称
Plant Engineering and Management
页面
出...